coffea.hist

Histogramming tools

coffea.hist is a histogram filling, transformation, and plotting sub-package, utilizing numpy arrays for storage and matplotlib plotting routines for visualization.

Features found in this package are similar to those found in packages such as histbook (deprecated), boost-histogram (in development), physt, and built-in numpy histogram utilities.

Functions

poisson_interval(sumw, sumw2[, coverage])	Frequentist coverage interval for Poisson-distributed observations
clopper_pearson_interval(num, denom[, coverage])	Compute Clopper-Pearson coverage interval for a binomial distribution
normal_interval(pw, tw, pw2, tw2[, coverage])	Compute errors based on the expansion of pass/(pass + fail), possibly weighted
plot1d(hist[, ax, clear, overlay, stack, ...])	Create a 1D plot from a 1D or 2D Hist object
plotratio(num, denom[, ax, clear, overflow, ...])	Create a ratio plot, dividing two compatible histograms
plot2d(hist, xaxis[, ax, clear, xoverflow, ...])	Create a 2D plot from a 2D Hist object
plotgrid(h[, figure, row, col, overlay, ...])	Create a grid of plots, enumerating identifiers on up to 3 axes
export1d(hist)	Export a 1-dimensional Hist object to uproot

Classes

Hist(label, *axes, **kwargs)	Specify a multidimensional histogram.
Bin(name, label, n_or_arr[, lo, hi])	A binned axis with name, label, and binning.
Interval(lo, hi[, label])	Real number interval
Cat(name, label[, sorting])	A category axis with name and label
StringBin(name[, label])	A string used to fill a sparse axis

Class Inheritance Diagram